An Objective Method for Evaluating Next-Generation Sequencing Panels.


Journal

Journal of child neurology
ISSN: 1708-8283
Titre abrégé: J Child Neurol
Pays: United States
ID NLM: 8606714

Informations de publication

Date de publication:
03 2019
Historique:
pubmed: 21 12 2018
medline: 18 9 2020
entrez: 21 12 2018
Statut: ppublish

Résumé

Next-generation sequencing panels are particularly useful in identifying genetic diagnoses in patients with nonspecific clinical findings by allowing for analysis of many genes at once. The purpose of this study was to develop a simple, objective system to evaluate the quality of available next-generation sequencing panels. A list of potentially important features of next-generation sequencing panels generated from the literature was evaluated for accessibility and objectivity and distilled to a "core" set of quality features. This was then applied to a clinical setting using the example of epilepsy panels. Panels at 8 laboratories were rated based on several objective measures to create a scoring system that differentiated between labs in a clinically meaningful way. There was substantial variability in 6 "core" test criteria, allowing for creation of a scoring system that clearly distinguished labs based on identified strengths and weaknesses of each panel. We have demonstrated an objective method for comparing next-generation sequencing panels that can be applied or adapted to any clinical phenotype for which genetic testing is available. This method offers an unbiased approach to determining the ideal test for a given indication at a given time.

Identifiants

pubmed: 30569809
doi: 10.1177/0883073818815036
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

139-143

Auteurs

Kaitlin Angione (K)

Department of Pediatrics, Section of Neurology, University of Colorado Denver, Aurora, CO, USA.

Melissa Gibbons (M)

Department of Pediatrics, Section of Neurology, University of Colorado Denver, Aurora, CO, USA.

Scott Demarest (S)

Department of Pediatrics, Section of Neurology, University of Colorado Denver, Aurora, CO, USA.

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Classifications MeSH